Monitoring that Scales with a Decentralizing and Growing Development Team
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Datadog
Tech Stack
- Cloud Services
- Custom Metrics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Retail
Applicable Functions
- Product Research & Development
- Business Operation
Use Cases
- Predictive Maintenance
- Factory Operations Visibility & Intelligence
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
Bazaarvoice offers solutions that enable the world’s largest retailers and global brands to turn social media into social commerce. By creating a place where hundreds of millions of shoppers around the world can share opinions, experiences, and genuine stories about products, Bazaarvoice leverages the authentic voice of consumers to help businesses build customer loyalty and increase profits. Bazaarvoice had grown its product line from a single customer ratings and reviews offering to a suite of social depth platforms that allowed customers to turn user generated content into actionable insights. As a result, the development team had ballooned from 30 to over 200 in just a few years. Maintaining this aggressive growth required that Bazaarvoice find ways to accelerate product innovation and sustainably scale their development team.
The Challenge
Bazaarvoice was in need of a monitoring solution that can support their evolving and decentralized approach to development. Scaling their existing monitoring systems would have required each team to not only host and manage their own observability tools, but also learn specific domain expertise in infrastructure monitoring. Bazaarvoice was already using a number of different monitoring solutions on their legacy systems. Scaling the existing monitoring systems would have required each team to not only run their own monitoring server, but also, to learn specific domain expertise in infrastructure monitoring. For Bazaarvoice, this would have involved more than 50 different monitoring servers, each with their own custom setup, metrics, and naming conventions. Maintaining easy and effective operations on such a disjointed system would have been nearly impossible for a team that was doubling in size every 6 to 9 months. Bazaarvoice required a monitoring solution that could support their evolving and decentralized approach to development.
The Solution
Datadog’s OOTB vendor integrations and easy-to-use interface allow Bazaarvoice to get seamless visibility into the wide variety of tools used by their development teams. Datadog also eliminated the need to relearn a specialized language each time they add a new custom setup. Bazaarvoice leverages Datadog to easily correlate metrics from their on-prem, public, and private cloud services and provides each team the flexibility to create custom, individualized dashboards. As Bazaarvoice evolved to a more decentralized IT department, they quickly realized how important it was to give each team the flexibility to monitor what was important for each specific environment. Some teams wanted dashboards that could be used as a heads up displays to watch key performance and business metrics. Other teams only wanted to log in and evaluate metrics when they ran into an issue. With Datadog, Bazaarvoice has empowered each of its product teams to create custom metrics and dashboards for their individual systems in an automated fashion.
Operational Impact
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.
